Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jeonghwan Koh

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Towards early detection of chronic kidney disease based on gait patterns: IMU-based approach using neural networksSunghan Lee, Jeonghwan Koh, GyeongBong Kim, et al.
Computer Methods and Programs in Biomedicine|June 24, 2025
Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG studySunghan Lee, Guangyao Zheng, Jeonghwan Koh, et al.
Digital Health|October 17, 2024
Hierarchical deep learning for autonomous multi-label arrhythmia detection and classification on real-world wearable electrocardiogram dataGuangyao Zheng, Sunghan Lee, Jeonghwan Koh, et al.
Kidney Research and Clinical Practice|October 9, 2024
GAIT-CKD (Gait Analysis using Artificial Intelligence for digital Therapeutics of patients with Chronic Kidney Disease): design and methodsYoungjin Song, In Cheol Jeong, Semin Ryu, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Towards early detection of chronic kidney disease based on gait patterns: IMU-based approach using neural networksSunghan Lee, Jeonghwan Koh, GyeongBong Kim, et al.
Computer Methods and Programs in Biomedicine|June 24, 2025
Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG studySunghan Lee, Guangyao Zheng, Jeonghwan Koh, et al.
Digital Health|October 17, 2024
Hierarchical deep learning for autonomous multi-label arrhythmia detection and classification on real-world wearable electrocardiogram dataGuangyao Zheng, Sunghan Lee, Jeonghwan Koh, et al.
Kidney Research and Clinical Practice|October 9, 2024
GAIT-CKD (Gait Analysis using Artificial Intelligence for digital Therapeutics of patients with Chronic Kidney Disease): design and methodsYoungjin Song, In Cheol Jeong, Semin Ryu, et al.
Pageof 1